Today, at ServiceNow’s annual customer and partner event, Knowledge 2026, ServiceNow expanded its AI Control Tower offering with new capabilities that give enterprises control over every AI system, agent, and workflow.
AI Control Tower, first introduced at Knowledge 2025, has evolved from visibility and management into a comprehensive, end-to-end solution that lets customers act with confidence across five dimensions:
- Discover finds AI assets once deployed across the organization — including systems beyond ServiceNow — through 30 new enterprise integrations spanning Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, and enterprise applications such as SAP, Oracle, and Workday. Discovery also extends to non-human identities and connected devices, bringing OT and IoT assets into the same governance model as AI agents and cloud services.
- Observe provides continuous monitoring with live alerts, replacing periodic audits. Through the recently completed acquisition of Traceloop, AI Control Tower now delivers deep observability into AI agent behavior at runtime, giving teams visibility into how agents reason, where they make decisions, and when to course-correct.
- Govern delivers AI-driven risk assessment and automated remediation across all types of AI, not only agents but also models, data sets, prompts, and classic machine-learning. Five new risk frameworks aligned to NIST and EU AI Act standards provide compliance controls out of the box.
- Secure extends identity access governance to hyperscaler AI environments and every connected device through integration with Veza, bringing patented access graph technology, scoped permissions, and least-privilege enforcement to every AI system, agent, and identity. When an agent goes off script or operates beyond its permissions, AI Control Tower can detect it and shut it down in real time — giving organizations the kill switch they need as agents take on more critical work.
- Measure provides cost tracking and ROI dashboards that give customers financial control as they scale AI— addressing runaway model spend — one of the most pressing challenges enterprises face as AI deployments grow.
This approach is powered by two decades of enterprise operational data accumulated through 100 billion workflows and 7 trillion workflow transactions annually, and anchored by the ServiceNow CMDB and Context Engine, which is designed to map digital assets to the services, people, and processes it supports. Enterprises can sense signals across their full digital estate, decide with live business context, act through autonomous workflows, and secure every agent action. Standalone governance tools simply cannot replicate this. In addition to its existing integrations with Anthropic and OpenAI, ServiceNow has also announced deepened AI Control Tower integrations with AWS, Microsoft, and other LLM providers, extending governance and observability across the infrastructure enterprises rely on most.
Additionally, for all customer Model Context Protocol (MCP) transactions, a new AI Gateway provides real-time controls for agentic workloads, with governance, observability, and security for full visibility across any third-party AI system.
Availability
Features announced today and many more as part of the ServiceNow AI Platform Australia release are available on a rolling basis beginning April 2026. AI Control Tower enhancements enter Innovation Lab in May with general availability expected in August 2026. Full details can be found in the ServiceNow Store.
Additional information
Read more about the ServiceNow AI Platform Australia release.
Related
This entry was posted on May 5, 2026 at 1:01 pm and is filed under Commentary with tags ServiceNow. You can follow any responses to this entry through the RSS 2.0 feed.
You can leave a response, or trackback from your own site.
ServiceNow expands AI Control Tower to discover, observe, govern, secure, and measure AI deployed across any system in the enterprise
Today, at ServiceNow’s annual customer and partner event, Knowledge 2026, ServiceNow expanded its AI Control Tower offering with new capabilities that give enterprises control over every AI system, agent, and workflow.
AI Control Tower, first introduced at Knowledge 2025, has evolved from visibility and management into a comprehensive, end-to-end solution that lets customers act with confidence across five dimensions:
This approach is powered by two decades of enterprise operational data accumulated through 100 billion workflows and 7 trillion workflow transactions annually, and anchored by the ServiceNow CMDB and Context Engine, which is designed to map digital assets to the services, people, and processes it supports. Enterprises can sense signals across their full digital estate, decide with live business context, act through autonomous workflows, and secure every agent action. Standalone governance tools simply cannot replicate this. In addition to its existing integrations with Anthropic and OpenAI, ServiceNow has also announced deepened AI Control Tower integrations with AWS, Microsoft, and other LLM providers, extending governance and observability across the infrastructure enterprises rely on most.
Additionally, for all customer Model Context Protocol (MCP) transactions, a new AI Gateway provides real-time controls for agentic workloads, with governance, observability, and security for full visibility across any third-party AI system.
Availability
Features announced today and many more as part of the ServiceNow AI Platform Australia release are available on a rolling basis beginning April 2026. AI Control Tower enhancements enter Innovation Lab in May with general availability expected in August 2026. Full details can be found in the ServiceNow Store.
Additional information
Read more about the ServiceNow AI Platform Australia release.
Share this:
Like this:
Related
This entry was posted on May 5, 2026 at 1:01 pm and is filed under Commentary with tags ServiceNow. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.